Practical Guide to TimescaleDB: Conquer Time-Series Chaos with Hypertables and Seamless Scaling - fo

Are your databases drowning in time-stamped data that's slowing you down and driving up costs? It's time to take control.

This isn't just another technical manual - A Practical Guide to TimescaleDB is your no-fluff, hands-on blueprint for mastering time-series data with the power and familiarity of PostgreSQL. Whether you're monitoring IoT devices, managing financial tick data, or tracking infrastructure metrics, TimescaleDB offers a scalable, efficient, and production-ready solution - and this book shows you exactly how to use it.

Inside, you'll discover how to:

• Build and optimize hypertables for fast, flexible querying

• Deploy real-time analytics dashboards that stay fast at scale

• Integrate with tools like Kafka, Grafana, and Prometheus

• Use compression, continuous aggregates, and cloud scaling to reduce cost and complexity

• Apply real-world solutions to real-world problems, with step-by-step projects in DevOps, IoT, and finance

What makes this book different?
Written by a seasoned DevOps engineer who has deployed TimescaleDB in high-stakes environments, this guide is packed with practical examples, production tips, and clear explanations - no theory overload, just real results.

Whether you're a backend developer, a data engineer, or a DevOps professional, this guide empowers you to tame time-series data and unlock new levels of performance and insight.

Get your copy now and build scalable, future-proof systems with TimescaleDB - the right way.